Sentimental analysis of customer product Reviews to understand customer needs using machine learning

Sentimental analysis of customer product Reviews to understand customer needs using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografiset tiedot
Päätekijät:	Symum, Md Abdullah Al, Sheemu, Subarna Yeasmin, Asif, Abu Saleh Md., Islam, Konika
Muut tekijät:	Shakil, Arif
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2023
Aiheet:	Natural language processing Customer feedback Textual data analysis Sentimental analysis Transformer Sentiment lexicons Word embeddings Machine learning Natural language processing (Computer science)
Linkit:	http://hdl.handle.net/10361/21980

Samankaltaisia teoksia

Sentiment analysis on mobile operators’ customer review
Tekijä: Hossain, Mohammed Mohibul, et al.
Julkaistu: (2020)

Human sentiment analysis using natural language processing
Tekijä: Shamya, Md. Shamiul Haque Khan, et al.
Julkaistu: (2024)

Sentiment analysis in Bengali Text using NLP
Tekijä: Sarkar, Ankon, et al.
Julkaistu: (2023)

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
Tekijä: Rahman, Shaomi, et al.
Julkaistu: (2018)

A transformer based approach to detect the sentiment of drivers in ride sharing platforms
Tekijä: Chakraborty, Sovon
Julkaistu: (2024)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
Tekijä: Islam, Shadman, et al.
Julkaistu: (2020)

Optimizing restaurant recommendations through sentiment analysis
Tekijä: Juha, Tasnia, et al.
Julkaistu: (2024)

Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
Tekijä: Deb, Priom, et al.
Julkaistu: (2024)

Microblog sentiment analysis for rating TV shows
Tekijä: Abdullah, Ashik
Julkaistu: (2017)

Sentiment classification on Bengali food and restaurant reviews
Tekijä: Hossain, Abid, et al.
Julkaistu: (2024)

Embedded system based bangla intelligent social virtual robot with sentiment analysis
Tekijä: Hossain, Md. Ishan Arefin, et al.
Julkaistu: (2018)

Detecting sarcasm in Bengali comments using NLP
Tekijä: Chowdhury, Md. Jamiur Rahman
Julkaistu: (2024)

Aspect-based sentiment analysis using SemEval and Amazon datasets
Tekijä: Hasib, Tamanna, et al.
Julkaistu: (2018)

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
Tekijä: Shourin, Bushra, et al.
Julkaistu: (2018)

Analyzing users’ sentiment towards video games based on reviews from microblog
Tekijä: Roy, Abhijeet, et al.
Julkaistu: (2018)

Sentiment analysis for Bengali newspaper headlines
Tekijä: Hossain, Mohammad Samman, et al.
Julkaistu: (2017)

Comparative study of toxic comments classification using machine learning algorithms
Tekijä: Razzak, Razia, et al.
Julkaistu: (2021)

Social media sentiment study on COVID-19 outbreak
Tekijä: Karmaker, Anik, et al.
Julkaistu: (2021)

BWN- A software platform for developing Bengali wordnet
Tekijä: Khan, Mumit, et al.
Julkaistu: (2010)

Research report on Bengla tagged lexicon
Tekijä: Hayder, Kamrul, et al.
Julkaistu: (2010)

Amazon product reviews sentiment analysis using supervised learning algorithms
Tekijä: Hawladar, Mohibullah, et al.
Julkaistu: (2021)

Product rating generation based on public opinion using sentiment analysis
Tekijä: Rabbi, Reshan Ahmed, et al.
Julkaistu: (2018)

Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
Tekijä: Shruti, Abanti Chakraborty
Julkaistu: (2024)

A rule based approach for implementation of bangla to english translation
Tekijä: Rahman, Md. Khalilur, et al.
Julkaistu: (2017)

Feature based mobile phone rating using sentiment analysis and machine learning approaches
Tekijä: Kafi, Abdullahil, et al.
Julkaistu: (2018)

Virtual teaching assistant for undergraduate students using natural language processing & deep learning
Tekijä: Sakib, Sadman Jashim, et al.
Julkaistu: (2023)

Research report on Bengla lexicon
Tekijä: Hayder, Kamrul
Julkaistu: (2010)

Screencast feedback versus textual feedback in L2 writing: an experimental study on IELTS writing task 2 responses in the Bangladeshi context
Tekijä: Neon, Muhaiminul Islam
Julkaistu: (2023)

Market demand analysis using NLP in Bangla language
Tekijä: Hossain, Md Sabbir, et al.
Julkaistu: (2022)

Sentimental analysis on political speeches
Tekijä: Atiq, Asif, et al.
Julkaistu: (2022)

Performing sentiment analysis in Bangla microblog posts
Tekijä: Chowdhury, Shaika, et al.
Julkaistu: (2017)

An effective machine learning approach for sentiment analysis of restaurant reviews
Tekijä: Karim, Rabita
Julkaistu: (2018)

A framework for sentiment analysis: a data-driven approach
Tekijä: Islam, Md. Jahedul, et al.
Julkaistu: (2021)

TikNep: content analysis of Nepali TikTok users using natural language processing
Tekijä: Dhakal, Aakar, et al.
Julkaistu: (2024)

Share market forecasting with LSTM neural network and sentimental trend prediction
Tekijä: Rony, Ismail Hossain, et al.
Julkaistu: (2020)

Curious learner: a generative neuro-symbolic approach for function execution & illustration using natural language
Tekijä: Joaa, A.F.M. Mohimenul
Julkaistu: (2024)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
Tekijä: Maliha, Miftahul Zannat, et al.
Julkaistu: (2023)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
Tekijä: Rabbi, Md. Nafis
Julkaistu: (2024)

Bang-lish sentiment classification using deep learning
Tekijä: Saleheen, Abrar, et al.
Julkaistu: (2023)

Sentiment analysis on Bangladesh airlines review data using machine learning
Tekijä: Hasib, Khan Md.
Julkaistu: (2022)